The summer of 2026 is leaving a succession of large wildfires that keeps numerous autonomous communities on alert. The high temperatures, low humidity, wind, and accumulated dryness of the vegetation are favoring the spread of the flames and raising the risk of new fires.
In light of this situation, thousands of people search every day to see if there is a fire danger in their municipality or if the area in which they live presents an especially high risk. To facilitate this inquiry, DEMÓCRATA offers a search engine updated daily with the official data from the State Meteorological Agency (AEMET).
Search engine: check the fire risk today in your municipality
Enter the name of your municipality in the search engine to know the level of wildfire risk forecasted today according to AEMET. The search engine is updated daily and shows the situation in more than 8,000 Spanish municipalities through the Wildfire Danger Index (IPIF).
The system classifies the risk into six levels:
- Very low
- Low
- Moderate
- High
- Very high
- Extreme
Each municipality appears classified according to the predominant level forecasted for that day.
How the fire risk map works
The search engine uses the information published daily by the State Meteorological Agency through its *Wildfire Danger Index (IPIF).
This system combines different meteorological variables that directly influence the possibility of a wildfire starting and spreading, among them:
- Temperature.
- Relative humidity.
- Wind speed and direction.
- Accumulated precipitation.
- State of the vegetation.
With all this data, AEMET prepares a forecast map that allows estimating the level of danger existing at each point of the national territory.
What each risk level means
The index used by AEMET divides the fire risk into six categories:
- Very low* and low indicate that the weather conditions are not favorable for the start of a large fire.
- The moderate level advises taking extra precautions, especially in activities that may generate sparks or flames.
- When the risk becomes high, very high, or extreme, the chances of a fire starting and spreading rapidly increase considerably, especially if episodes of intense wind or very high temperatures coincide.
In these situations, many autonomous communities activate restrictions on certain outdoor activities.
Active fires raise concern across Spain
The interest in knowing the fire risk has skyrocketed coinciding with the large fires recorded in different parts of the country.
The fire in Orés, in the Zaragoza region of Cinco Villas, has become one of the most important of the summer after devastating thousands of hectares and forcing the evacuation of several municipalities. Fires in Guadalajara, Madrid, and other parts of Spain also remain under surveillance.
The combination of extreme heat, very dry vegetation, and wind keeps the risk high in numerous areas during these days.
What to do if your municipality presents extreme fire risk
That a municipality appears with extreme risk does not mean that a fire will occur, but it does indicate that the weather conditions favor any spark spreading rapidly.
In these cases, authorities recommend avoiding any activity that may generate fire or sparks, respecting the current autonomous restrictions and immediately notifying 112 if a column of smoke or a possible forest fire is detected.
Citizen collaboration is essential to detect fires in their early stages and facilitate a rapid intervention by emergency services.
Where the data from the search engine comes from
The data used in this search engine comes from the official maps of the Forest Fire Danger Prediction System of the State Meteorological Agency (AEMET), extracted by EP Data.
To assign the risk level to each municipality, the official limits of the National Geographic Institute (IGN) are used, calculating the predominant level within each municipal term based on the geographical information published daily by AEMET.
In this way, the search engine offers a simple and updated query to know the predicted forest fire risk in any locality in Spain.